AI decentralized and integrated learning and application of blockchain technology to virtual power plants (VPP)
Formation of virtual power plant (VPP) utilizing groups of storage batteries
Purpose
Objectives of Research
& Development
AI decentralized and integrated learning and application of blockchain technology to virtual power plants (VPP)
Formation of virtual power plant (VPP) utilizing groups of storage batteries
With an eye on next-generation energy policy, we aim to provide storage batteries equipped with our exclusive AI chips to general households with existing solar panels and start energy management services. In the future, we would like to work on the formation of virtual power plant (VPP) utilizing storage batteries.
In a large number of current VPP projects, management systems are basically centralized. ACSL’s technologies build a decentralized system by blockchain. This is a technology flexibly responds to the decentralization of power sources because of the increasing popularity of renewable energy. In a highly centralized system, the central system loses all its functions when operation stops while in a distributed system, there are no operational problems as long as a certain node keeps running. We aim to build a power supply system that can work even under natural calamities.
Superiority
Advantages of storage batteries
equipped with edge learning AI
Efficient energy management that reduce battery capacity and installation costs
Instantaneous responsiveness leaps as it does not rely on network environment
More precise power generation forecast/ demand forecast are possible according to weather changes and individual needs.
Records
We have been developing an EV energy management system using AI chips in Fukushima since June 2019. We collaborate with REXEV Co., Ltd., which works on car sharing and energy management using electric vehicles (EV); and has been approved by Fukushima Prefecture as a part of the "Regeneration Energy Related Technology Demonstration Research Support Project".
In July 2019, we signed a partnership agreement with Bode in Münster, Germany, and started activities aimed to utilize AI/ AI chips in the energy field of the German market. We were selected by Fukushima Prefecture in February 2020 to join the exhibition "E-World", Europe's largest energy-related research city, held in Essen, Germany. Energy-related companies from all over Europe have contributed tremendously to the development of AI chips for ACSL's energy management indeed.
Intellectual Property
Patent Application
Paper
Z. Wang, M. Ogbodo, H. Huang, C. Qiu, M. Hisada and A. B. Abdallah, "AEBIS: AI-Enabled Blockchain-Based Electric Vehicle Integration System for Power Management in Smart Grid Platform," in IEEE Access, vol. 8, pp. 226409-226421, 2020, doi: 10.1109/ACCESS.2020.3044612.